Error compensation method for improving the accuracy of biomodels obtained from CBCT data.

This paper presents a method of improving the accuracy of the tridimensional reconstruction of human bone biomodels by means of tomography, with a view to finite element modelling or surgical planning, and the subsequent manufacturing using rapid prototyping technologies. It is focused on the analysis and correction of the results obtained by means of cone beam computed tomography (CBCT), which is used to digitalize non-superficial biological parts along with a gauge part with calibrated dimensions. A correction of both the threshold and the voxel size in the tomographic images and the final reconstruction is proposed. Finally, a comparison between a reconstruction of a gauge part using the proposed method and the reconstruction of that same gauge part using a standard method is shown. The increase in accuracy in the biomodel allows an improvement in medical applications based on image diagnosis, more accurate results in computational modelling, and improvements in surgical planning in situations in which the required accuracy directly affects the procedure's results. Thus, the subsequent constructed biomodel will be affected mainly by dimensional errors due to the additive manufacturing technology utilized, not because of the 3D reconstruction or the image acquisition technology.

[1]  C. Compagnone,et al.  Custom made cranioplasty prostheses in porous hydroxy-apatite using 3D design techniques: 7 years experience in 25 patients , 2007, Acta Neurochirurgica.

[2]  K. Krishnan,et al.  The Application of Rapid Prototyping Techniques in Cranial Reconstruction and Preoperative Planning in Neurosurgery , 2003, The Journal of craniofacial surgery.

[3]  J. Y. Choi,et al.  Analysis of errors in medical rapid prototyping models. , 2002, International journal of oral and maxillofacial surgery.

[4]  Christian Herlin,et al.  Rapid prototyping in craniofacial surgery: using a positioning guide after zygomatic osteotomy - A case report. , 2011, Journal of cranio-maxillo-facial surgery : official publication of the European Association for Cranio-Maxillo-Facial Surgery.

[5]  Yoke San Wong,et al.  Three‐dimensional Data Capture and Processing , 2006 .

[6]  J. Fitzpatrick,et al.  Correcting scaling errors in tomographic images using a nine degree of freedom registration algorithm. , 1998, Journal of computer assisted tomography.

[7]  Ian Gibson,et al.  Advanced manufacturing technology for medical applications : reverse engineering, software conversion, and rapid prototyping , 2006 .

[8]  Acceptability of Cone Beam CT vs. Multi-Detector CT for 3D Anatomic Model Construction , 2006 .

[9]  Michele Germani,et al.  A method for performance evaluation of RE/RP systems in dentistry , 2010 .

[10]  Jorge Vicente Lopes da Silva,et al.  Dimensional error in selective laser sintering and 3D-printing of models for craniomaxillary anatomy reconstruction. , 2008, Journal of cranio-maxillo-facial surgery : official publication of the European Association for Cranio-Maxillo-Facial Surgery.

[11]  Wim Dewulf,et al.  Industrial computer tomography for dimensional metrology: Overview of influence factors and improvement strategies , 2009 .

[12]  Margam Chandrasekaran,et al.  Rapid prototyping in tissue engineering: challenges and potential. , 2004, Trends in biotechnology.

[13]  Timon Mallepree,et al.  Accuracy of medical RP models , 2009 .

[14]  Frank Welkenhuyzen,et al.  A test object with parallel grooves for calibration and accuracy assessment of industrial computed tomography (CT) metrology , 2011 .

[15]  Brian Derby,et al.  Printing and Prototyping of Tissues and Scaffolds , 2012, Science.

[16]  Nicolae Balc,et al.  Cranioplasty with custom-made implants: analyzing the cases of 10 patients. , 2012, Journal of oral and maxillofacial surgery : official journal of the American Association of Oral and Maxillofacial Surgeons.

[17]  Yosry Morsi,et al.  Error analysis of FDM fabricated medical replicas , 2010 .

[18]  Michele Germani,et al.  Application of optical digitizing techniques to evaluate the shape accuracy of anatomical models derived from computed tomography data. , 2007, Journal of oral and maxillofacial surgery : official journal of the American Association of Oral and Maxillofacial Surgeons.

[19]  Kenneth Levenberg.  A METHOD FOR THE SOLUTION OF CERTAIN NON – LINEAR PROBLEMS IN LEAST SQUARES , 1944 .

[20]  Shayne Kondor,et al.  Accuracy of rapid prototype models for head and neck reconstruction. , 2011, The Journal of prosthetic dentistry.

[21]  Ahmad Yusoff Hassan,et al.  Rapid Prototyping in Orthopaedics: Principles and Applications , 2005 .

[22]  Michele Germani,et al.  Direct fabrication through electron beam melting technology of custom cranial implants designed in a PHANToM-based haptic environment , 2009 .

[23]  P. D'urso,et al.  Stereolithographic biomodelling in cranio-maxillofacial surgery: a prospective trial. , 1999, Journal of cranio-maxillo-facial surgery : official publication of the European Association for Cranio-Maxillo-Facial Surgery.

[24]  Pablo Irarrazaval,et al.  Quantitative assessments of geometric errors for rapid prototyping in medical applications , 2012 .

[25]  Ersilia Barbato,et al.  3D cephalometric analysis obtained from computed tomography. Review of the literature. , 2011, Annali di stomatologia.

[26]  YingLiang Ma,et al.  Registration of 3D trans-esophageal echocardiography to X-ray fluoroscopy using image-based probe tracking , 2012, Medical Image Anal..

[27]  D. Louis Collins,et al.  New methods for MRI denoising based on sparseness and self-similarity , 2012, Medical Image Anal..

[28]  B. Eppley,et al.  Long-spanning resorbable plates in cranial vault reconstruction. , 2003, The Journal of craniofacial surgery.

[29]  Jürgen Weese,et al.  Fast voxel-based 2D/3D registration algorithm using a volume rendering method based on the shear-warp factorization , 1999, Medical Imaging.

[30]  Marco Viceconti,et al.  An improved method for the automatic mapping of computed tomography numbers onto finite element models. , 2004, Medical engineering & physics.

[31]  Elizabeth G. Loboa,et al.  Semiautomated finite element mesh generation methods for a long bone , 2007, Comput. Methods Programs Biomed..

[32]  Robert Schmitt,et al.  Computed tomography for dimensional metrology , 2011 .

[33]  Tuğrul Özel,et al.  Micro-Manufacturing: Design and Manufacturing of Micro-Products , 2011 .

[34]  Jens Ducrée,et al.  Design and fabrication of a COP‐based microfluidic chip: Chronoamperometric detection of Troponin T , 2012, Electrophoresis.

[35]  R Richards,et al.  A review of rapid prototyped surgical guides for patient-specific total knee replacement. , 2012, The Journal of bone and joint surgery. British volume.

[36]  W. McDavid,et al.  Deriving Hounsfield units using grey levels in cone beam computed tomography. , 2010, Dento maxillo facial radiology.

[37]  Horácio Costa,et al.  The application of 3-D biomodeling technology in complex mandibular reconstruction—experience of 47 clinical cases , 2010, European Journal of Plastic Surgery.

[38]  S. Singare,et al.  The Application of Rapid Prototyping and Manufacturing for Anatomical Modelling in Medicine , 2010 .

[39]  José Manuel García-Aznar,et al.  Comparative analysis of bone remodelling models with respect to computerised tomography-based finite element models of bone , 2010 .

[40]  D. Marquardt.  An Algorithm for Least-Squares Estimation of Nonlinear Parameters , 1963 .

[41]  Sanjay B. Joshi,et al.  Software compensation of rapid prototyping machines , 2004 .

[42]  Zdenek Horak,et al.  Comparison of isotropic and orthotropic material property assignments on femoral finite element models under two loading conditions. , 2007, Medical engineering & physics.

[43]  Markus Bartscher,et al.  Enhancement and Proof of Accuracy of Industrial Computed Tomography (CT) Measurements , 2007 .